Detection of targets in terrain clutter by using multispectral infrared image processing

Lawrence E. Hoff; John R. Evans; Laura E. Bunney

doi:10.1117/12.45679

1 August 1991 Detection of targets in terrain clutter by using multispectral infrared image processing

Lawrence E. Hoff, John R. Evans, Laura E. Bunney

Proceedings Volume 1481, Signal and Data Processing of Small Targets 1991; (1991) https://doi.org/10.1117/12.45679
Event: Orlando '91, 1991, Orlando, FL, United States

Abstract

A weighted-difference signal-processing algorithm for detecting ground targets by using dual- band IR data was investigated. Three variations of the algorithm were evaluated: (1) simple differences; (2) minimum noise; and (3) maximum SNR. The theoretical performance was compared to measured performance for two scenes collected by the NASA TIMS sensor over a rural area near Adelaide, Australia, and over a wooded area near the Redstone Arsenal. The theoretical and measured results agreed extremely well. For a given correlation coefficient and color ratio, the amount of signal-to-noise ratio gain can be predicted. However, target input SNRs and color ratios can vary considerably. For the targets and scenes evaluated here, the typical gains achieved ranged from a few dB loss (targets without color) to a maximum of approximately 20 dB.

Citation Download Citation

Lawrence E. Hoff, John R. Evans, and Laura E. Bunney "Detection of targets in terrain clutter by using multispectral infrared image processing", Proc. SPIE 1481, Signal and Data Processing of Small Targets 1991, (1 August 1991); https://doi.org/10.1117/12.45679

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